Triple

T30066387
Position Surface form Disambiguated ID Type / Status
Subject Green Line (Cleveland) E764041 entity
Predicate sharesRightOfWayWith P196459 FINISHED
Object Blue Line (Cleveland) NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Blue Line (Cleveland) | Statement: [Green Line (Cleveland), sharesRightOfWayWith, Blue Line (Cleveland)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesRightOfWayWith
Context triple: [Green Line (Cleveland), sharesRightOfWayWith, Blue Line (Cleveland)]
  • A. someRightOfWayUsedBy
    Indicates that a particular right of way is utilized or traversed by a specified user, route, or transport entity.
  • B. ownerOfRightOfWay
    Indicates that one entity holds the legal right to pass through or use a specific path, route, or area on another entity’s property.
  • C. exclusiveRightOfWaySections
    Indicates that certain sections of a route or infrastructure are reserved for the exclusive use of a specific user or mode, prohibiting access or passage by others.
  • D. rightOfWayUsedFor
    Indicates that a particular right of way is utilized for a specific purpose, activity, or type of use.
  • E. hasTypicalRightOfWay
    Indicates that one party customarily has the legal or expected priority to proceed or pass before another in a given situation.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f2247221388190a13a22c47094a0ef completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe38be079c8190a240191ac0e73e3a completed May 8, 2026, 7:25 p.m.
PD Predicate disambiguation batch_69fe350344508190930de2218156ca02 completed May 8, 2026, 7:09 p.m.
PDg Predicate description generation batch_69fe38bc3e9c8190838430b22b82503f completed May 8, 2026, 7:25 p.m.
Created at: April 29, 2026, 6:59 p.m.